We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.

DESCRIPTION

As a member of our team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps! This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills.

MINIMUM QUALIFICATIONS

• 5+ years of experience in building large scale machine learning systems.
• Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition.
• 2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc).
• Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++
• Experience working with large scale and real world datasets
• Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies
• Metrics focused and passionate about delivering models that render high quality results
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Strong problem-solving, communication, and ability to collaborate with cross-functional teams.

PREFERRED QUALIFICATIONS

• Understanding of Knowledge graphs and their applications to entity matching
• Working knowledge of Deep learning and computer vision, are pluses

Please refer the Job description for details